Artificial Ant Colony Optimized Direct Torque Control of Mathematically Modeled Induction Motor Drive Using PI and Sliding Mode Controller

摘要

This paper highlights the implementation of Artificial Ant Colony Algorithm (ACO) characteristics using sliding mode control technique with conventional PI controller for the direct torque control of IMD; induction motor drive system. This follows research paper the conventional controller technique compared with the proposed PI-SMC-ACO control technique and it gives superior efficiency on speed variations and faster response toward steady-state operation. The DTC drive is the electromagnetic torque command based on the Lyapunov principle for heuristic control. PI-GA demonstrates better output under nominal driving conditions while ACO-SM reveals robustness over variance in stator resistance, inertia instability, and crassness of stability. The model provides better efficient and smooth operating process with faster steady-state operations. In future, more adaptive techniques can be implemented for better steady-state operations with higher constraints.